The SACHI (Sentinel-1/2 derived Arctic Coastal Human Impact) datasethas been developed as part of the HORIZON2020 project Nunataryuk by b.geos (www.bgeos.com). It covers a 100km buffer from the Arctic Coast (land area), for areas with permafrost near the coast.
It is based on Sentinel-1 and Sentinel-2 data from 2016-2020 using the algorithms described in Bartsch et al. (2020). It is a supplement to Bartsch et al. (in review).

It consists of three shape files.

1) SACHI.shp - all identfied objects with infrastructure/impact classes and auxillary information
2) SACHI_100km_buffer - Buffer polygon (analyses extent)
3) SACHI_granules_acquisition_dates - processed Sentinel-2 granule extent polygons with dates of all used input data

Dataset reference: see Zenodo 'Sentinel-1/2 derived Arctic Coastal Human Impact dataset (SACHI)' (zenodo.org)

Description of fields in SACHI.shp:

country: Name of the country
Sett_name: Name of the nearest settlement if within 40 km (partially based on Wang et al. 2021)
class: SACHI class value. 1=linear transport infrastructure, 2=buildings (and other constructions such as bridges), 3=other impacted area (includes gravel pads, mining sites)
NDVI_trend: Mean NDVI trend based on ordinary least squares regression from Landsat data in 1/decade
NL16_mean: Mean Nighlight radiance for the year 2016 in nW/cm²/sr (derived from https://eogdata.mines.edu/products/vnl/ , Elvidge et al. 2021)
CAVM class: Mode of Raster Circum-Arctic Vegetation Map (CAVM) class, see the Raster CAVM documentation for the meaning of the class values: https://data.mendeley.com/datasets/c4xj5rv6kv/1
ALT19_mean: Mean modeled Active Layer Thickness (ALT) for the year 2019 in cm (derived from https://climate.esa.int/en/projects/permafrost/, Obu et al. 2021)
ALT_trend: Mean trend of modeled Active Layer Thickness (ALT) in cm/year (derived from https://climate.esa.int/en/projects/permafrost/, Obu et al. 2021)
PFR19_mean: Mean modeled areal fraction of permafrost for the year 2019 in cm (derived from https://climate.esa.int/en/projects/permafrost/, Obu et al. 2021)
PFR_trend: Mean trend of modeled areal fraction of permafrost in %/year (derived from https://climate.esa.int/en/projects/permafrost/, Obu et al. 2021)
GTD19_mean: Mean modeled ground temperature at 2m depth for the year 2019 in °C (derived from https://climate.esa.int/en/projects/permafrost/, Obu et al. 2021)
GTD_trend: Mean trend of modeled ground temperature at 2m depth in °C/year (derived from https://climate.esa.int/en/projects/permafrost/, Obu et al. 2021)
GTD_dmean: Mean of decadal mean (2010-2019) of modeled ground temperature at 2 m depth in °C (derived from https://climate.esa.int/en/projects/permafrost/, Obu et al. 2021)
GTD2050: Mean modeled ground temperature at 2m depth for the year 2050 (extrapolated from GTD trend) in °C (derived from https://climate.esa.int/en/projects/permafrost/, Obu et al. 2021)
GTD2060: Mean modeled ground temperature at 2m depth for the year 2060 (extrapolated from GTD trend) in °C (derived from https://climate.esa.int/en/projects/permafrost/, Obu et al. 2021)
Acc_water: Note on access to water for transport (of associated settlement, search radius 40km) including information on sea port or pier
Acc_air: Note on access via airport, airstrip or helipad (of associated settlement, search radius 40km)
Use: landuse and/or economic function class based on internet survey
Use_main: Generalized use class based on 'Use'
Dist_sett: Distance to nearest settlement (column "Sett_name") in m

References:

Bartsch,  A.,  Pointner,  G.,  Ingeman-Nielsen,  T.  &  Lu,  W.  (2020),  ‘Towards  circumpolar  mappingof  Arctic  settlements  and  infrastructure  based  on  Sentinel-1  and  Sentinel-2’, Remote  Sensing 12(15), 2368.

Elvidge,  C.  D.,  Zhizhin,  M.,  Ghosh,  T.,  Hsu,  F.-C.  &  Taneja,  J.  (2021),  ‘Annual  time  series  ofglobal VIIRS nighttime lights derived from monthly averages:  2012 to 2019’,Remote  Sensing13(5), 922

Obu,  J.,  Westermann,  S.,  Barboux,  C.,  Bartsch,  A.,  Delaloye,  R.,  Grosse,  G.,  Heim,  B.,  Hugelius,G.,  Irrgang,  A.,  K ̈a ̈ab,  A.  M.,  Kroisleitner,  C.,  Matthes,  H.,  Nitze,  I.,  Pellet,  C.,  Seifert,F. M., Strozzi, T., Wegm ̈uller, U., Wieczorek, M. & Wiesmann, A. (2021a), ‘ESA PermafrostClimate Change Initiative (permafrostcci):  Permafrost active layer thickness for the NorthernHemisphere, v3.0’.

Obu, J., Westermann, S., Barboux, C., Bartsch, A., Delaloye, R., Grosse, G., Heim, B., Hugelius, G.,Irrgang,  A.,  K ̈a ̈ab,  A.  M.,  Kroisleitner,  C.,  Matthes,  H.,  Nitze,  I.,  Pellet,  C.,  Seifert,  F.  M.,Strozzi, T., Wegm ̈uller, U., Wieczorek, M. & Wiesmann, A. (2021b), ‘ESA Permafrost ClimateChange Initiative (permafrostcci):  Permafrost extent for the Northern Hemisphere, v3.0’.

Obu,  J.,  Westermann,  S.,  Barboux,  C.,  Bartsch,  A.,  Delaloye,  R.,  Grosse,  G.,  Heim,  B.,  Hugelius,G.,  Irrgang,  A.,  K ̈a ̈ab,  A.  M.,  Kroisleitner,  C.,  Matthes,  H.,  Nitze,  I.,  Pellet,  C.,  Seifert,F. M., Strozzi, T., Wegm ̈uller, U., Wieczorek, M. & Wiesmann, A. (2021c), ‘ESA PermafrostClimate Change Initiative (permafrostcci):  Permafrost ground temperature for the NorthernHemisphere, v3.0

Wang,  S.,  Ramage,  J.,  Bartsch,  A.  &  Efimova,  A.  (2021),  ‘Population  in  the  arctic  circumpolar permafrost region at settlement level’, Zenodo.  10.5281/ZENODO.45296

Ackeknowledgements:
This data publication is part of the Nunataryuk and CHARTER projects. The projects havereceived funding under the European Union’s Horizon 2020 Research and InnovationProgramme under grant agreement no. 773421 and no. 869471.  Further support wasreceived by  ESA  CCI+  Permafrost,  HGF  AI-CORE, and NSF Permafrost DiscoveryGateway. The processing scheme was developed on a highly performant virtual machine (VM) provided by the Copernicus Research and User Support (RUS). Results are based on modified Copernicus data from 2016 to 2020.